Tom Tunguz

MARCH 11, 2013

I believe machine learning will drive the next big wave of innovation in consumer web services. For machine learning to create magic the the technology requires large amounts of data, the infrastructure to process the data and the algorithms to extract learning.

Machine Learning 100

Machine Learning Artificial Intelligence Travel Technology 100

User Pilot

MAY 31, 2023

Qualtrics utilizes Artificial Intelligence and machine learning to analyze survey data. Nominal scale questions The nominal scale questions categorize or identify objects without any inherent order or numerical value. Creating nominal scale questions in Userpilot. These questions often involve rating scales.

Data Analysis 85

Data Analysis Scaling Artificial Intelligence Data 85

Intercom, Inc.

OCTOBER 24, 2018

How do you scale a support organization without breaking the budget or killing the quality of the customer experience? Our belief in a modern support model will never change, but we’ve spent a lot of time iterating on how best to scale our support. Three options when scaling customer support. Automation. Self-Service.

Scale 178

Scale Customer Support Scaling Strategy 178

Tom Tunguz

DECEMBER 17, 2023

Like the Devops movement, the Dataops movement aims to scale the use of data within companies without increasing the headcount of the data team. Business logic : the data engineering team build the ETL pipelines while the data science team researches & implements machine learning algorithms for MLDS driven data products.

Data 221

Data Government Scale Headcount 221

Tom Tunguz

MAY 15, 2023

the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. the company believes the relatively high costs using these models will decline with time & scale. the product lead would like to minimize career risk by choosing a well-known player.

Artificial Intelligence 203

Artificial Intelligence AI Machine Learning Scale 203

SaaStr

APRIL 12, 2023

Why AI Matters to VCs Over the last decade, each type of machine learning has developed and grown, with generative AI becoming the most recent. Goldman Sachs predicts that the contribution of machine learning to GDP would fall somewhere between 1.5 – 2.9%. Foundational Model New capabilities through scale (ex.

Generative AI 182

Generative AI AI Machine Learning Artificial Intelligence 182

Intercom, Inc.

DECEMBER 5, 2019

What can we, in the SaaS sector, learn from one of tech’s true behemoths? On this week’s episode of Scale, Matt Rogers, Head of SaaS Initiative at Google, is here to enlighten us. This is Season Two of Scale , Intercom’s podcast series on moving from startup to scale-up. And we’re early.”.

Scale 118

Scale Scaling Artificial Intelligence Business 118

SaaStr

NOVEMBER 15, 2022

As Gleklen says, “We actually see this monolith falling apart, and it’s falling apart primarily due to what we view as two of the biggest drivers for value creation today: Machine learning and product-led growth.”.

Metrics 214

Metrics Machine Learning Artificial Intelligence Technical Review 214

Andreessen Horowitz

FEBRUARY 11, 2022

As machine learning technology has matured and moved from research curiosity to something industrial-grade, the methods and infrastructure needed to support large-scale machine learning have also evolved.

AI 125

AI Machine Learning Artificial Intelligence Startup 125

IT World

MARCH 5, 2020

The firm went public in 2015 and soon afterward made cloud migration a priority, so that it could scale its services without having to make big expensive hardware purchases up front, and to better leverage machine learning techniques. To read this article in full, please click here

Cloud 75

Cloud Scaling Marketplace as a Service Machine Learning 75

SaaStr

MARCH 2, 2023

With predictive machine learning, we help growth teams take the guesswork out of their day-to-day – and focus on spending their time where it matters. Jiminny is the conversation intelligence platform that records, transcribes and analyzes sales calls to help teams coach at scale, win more deals and smash targets.

Scale 213

Scale Technical Review Software Review Machine Learning 213

Intercom, Inc.

JULY 26, 2022

Unlike traditional conversational technologies, which deliver pre-written scripts and dialogues to users when prompted by specific keywords, conversational AI recognizes and responds to the content of a user’s query by leveraging two complementary artificial intelligence technologies: natural language processing (NLP) and machine learning.

Artificial Intelligence 118

Artificial Intelligence AI Scale Machine Learning 118

Intercom, Inc.

OCTOBER 13, 2020

We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? The cupcake approach to building bots.

Artificial Intelligence 281

Artificial Intelligence Machine Learning Underperforming Technical Team Development 281

Intercom, Inc.

JULY 30, 2020

Not only does this free up valuable time for companies to provide the human touch necessary to keep customers satisfied, it means that businesses actually have a decent shot at scaling their revenue instead of their costs. This is Scale , Intercom’s podcast series on driving business growth through customer relationships.

Customer Success 145

Customer Success Scale Machine Learning Artificial Intelligence 145

Baremetrics

JANUARY 25, 2022

FinOps, which stands for Financial Operations, combines the latest technologies and methods to help businesses scale their financial processes adequately and efficiently. Some EDI systems lend themselves more to rapid scaling, for example. One of the major advantages of the cloud is its scalability. Image source 3.

Payment Services 97

Payment Services SaaS Payments Payment Solutions Payments 97

SaaStr

NOVEMBER 12, 2022

They see it as a key differentiator to win as you scale. Still, some VCs want to see at least one solid VP on the team, or at least, one solid manager you can scale under. Others want more than just the CEO here to see they can scale in the Bay Area / the U.S. The Googlers. The Palantirians. They want that. It just varies.

Scale 339

Scale Sales Recruiting Machine Learning Artificial Intelligence 339

Tom Tunguz

MARCH 26, 2019

Second , in early markets, most of the buyers don’t understand the nuances of the technology, whether it’s IoT platforms, or machine learning infrastructures, or data lakes. Unless you have operated large-scale internal data pipelines, you may not have the experience to discern the pros and cons of each.

Machine Learning 194

Machine Learning Artificial Intelligence Scale Marketing 194

Andreessen Horowitz

SEPTEMBER 25, 2023

Daphne Koller is the founder and CEO of insitro, a company using AI and machine learning to engineer drug discovery. For the very first time, that gives us the ability to deploy machine learning in ways where it is truly meaningful because the data sets are large enough for really interesting machine learning methods to be deployed.

Artificial Intelligence 88

Artificial Intelligence Machine Learning AI Scale 88

Intercom, Inc.

SEPTEMBER 22, 2022

Sophisticated conversation automation products enable chatbots and machine learning technology to work alongside humans to provide these experiences at a scale that was impossible just a few years ago. Businesses can leverage these tools for every customer stage, from evaluation to conversion, to support and expansion.

Machine Learning 104

Machine Learning Artificial Intelligence Scale Benchmarks 104

Sales Hacker

AUGUST 12, 2020

Scaling Your Personalization. AI and machine learning haven’t officially passed the Turing Test (even though I want to believe I have when it comes to email). AI can help scale this, but we need to be careful not to rely too heavily on it. So, let’s learn how to change the game and personalize the right way.

Scale 107

Scale Scaling AI Search AI 107

SaaStr

MARCH 26, 2019

Scaling the company’s employee base, sales teams, marketing, and operations—all while preserving its culture—has required a laser focus on first principles, smart processes, and effective hiring. In this talk, Claire will share these and other lessons for scaling high-growth organizations. Manual processes first. Names stick.

Scale 152

Scale Payment Services Payment Methods Scaling 152

User Pilot

SEPTEMBER 19, 2023

A churn model works by passing previous customer data through a machine learning model to identify the connections between features and targets and make predictions about new customers. Understanding the churn prediction model A churn prediction model is a machine learning model that predicts whether a customer will likely churn.

Churn 99

Churn Machine Learning Artificial Intelligence Data Analysis 99

SmartKarrot

JUNE 15, 2022

That is where machine learning proves to be a game-changer! Not only does Machine Learning help us solve problems faster, but it also frees up time for other valuable things. Learn everything you can, try new approaches, and succeed like never before. One way is machine learning. Minimizing Effort.

Artificial Intelligence 10

Artificial Intelligence Machine Learning Customer Success AI Search 10

Tom Tunguz

JANUARY 3, 2018

The scale is enormous. Several landscape altering SaaS acquisitions will come to fruition because of cash availability from repatriation and because there are enough public SaaS companies at scale to add material revenue and market cap to buyers. Machine learning fades as a buzzword.

SaaS Payments 201

SaaS Payments Scale Blockchain Machine Learning 201

How To Buy Saas

APRIL 16, 2024

Artificial Intelligence and Machine Learning Algorithms driven by artificial intelligence are utilized in online vehicle auctions to assess pricing tactics, forecast demand, and examine market trends. Auction systems can enhance the overall purchasing experience by using machine learning to generate personalized suggestions for users.

Artificial Intelligence 52

Artificial Intelligence Automotive Technical Review Systems Review 52

SaaStr

APRIL 24, 2019

Alexandr Wang is the Founder & CEO @ Scale, the startup providing high quality training and validation data for AI applications. To date, Alexandr has raised over $23m with Scale from some of the best in the business including Index, Accel, Y Combinator, Dropbox’s Drew Houston, Justin Kan, Thumbtack’s Jonathan Swanson and more.

Scale 126

Scale Scaling Sales Hiring Customer Success 126

Tom Tunguz

MAY 19, 2018

Other times, front-end engineers innovate at the application layer, which demand downstream changes in the infrastructure to scale. Infrastructure-as-a-service provided by Amazon, Google and Microsoft among others empowers applications to scale as users demand. Advances like chatbots haven’t yet impacted software use at scale.

DevOps as a Service 219

DevOps as a Service Blockchain Machine Learning Artificial Intelligence 219

SaaStr

MARCH 5, 2021

The tech involves cameras and devices that detect evidence, decode it with machine learning and deliver it into the right hands. Here are some things to remember when you think about scaling your next big SaaS company. When do you decide to scale? How are you going to scale without messing up? Hiring a VP of Sales.

Sales Recruiting 173

Sales Recruiting Sales Hiring Scale Sales 173

Andreessen Horowitz

SEPTEMBER 25, 2023

We brought together some of the best AI founders and leaders—from those scaling the underlying foundation models to those building products that could transform entire industries—for a series of conversations on where we are, where we’re going, and the big open questions in the field. . You have this perverse economy of scale.

Artificial Intelligence 142

Artificial Intelligence AI Scale ChatGPT 142

Neil Patel

DECEMBER 23, 2020

NLP vs. AI vs. Machine Learning. To a non-computer scientist, NLP sounds a lot like machine learning and AI. To understand their relationship, you need to understand a third term: deep learning. Deep learning is a subset of machine learning, applied specifically to large data sets.

Artificial Intelligence 145

Artificial Intelligence AI Search Scale Marketing 145

Unbounce

JULY 5, 2023

AI analytics refers to the merging of artificial intelligence and machine learning techniques that analyze data, extract insights, and assist marketers in making data-informed decisions. With machine learning, you can make it happen. As marketers, we’re all familiar with the likes of Google Analytics.

Artificial Intelligence 98

Artificial Intelligence AI Search AI Machine Learning 98

ChurnZero

APRIL 1, 2024

1: Scaled, personalized customer onboarding with AI Use AI to analyze customer data and behavior patterns to create a personalized onboarding experience for each user. Tools like Synthesia are ideal for creating AI-generated multimedia content at scale.

Onboarding 76

Onboarding AI Strategy Social Media 76

Tom Tunguz

DECEMBER 28, 2021

Large software companies accelerated growth this year, despite their scale reinforcing the notion that users write data into systems but rarely delete it. GTP-3 and BERT are massive machine learning systems called neural nets.

Scale 268

Scale Blockchain Banking Machine Learning 268

SaaStr

APRIL 4, 2019

You’ll also learn how leading SaaS companies are able to scale and thrive in this complex, dynamic environment. And the same customer challenges that we were being presented, which was: How do you scale? So one trend is just containers, Kubernetes and how that auto scales in a very seamless way wherever you are.

Cloud 168

Cloud Scale Trends Machine Learning 168

SaaStr

MARCH 31, 2020

I’m Guillaume Cabane and today I’m going to talk about The Playbook To Running Growth Experiments At Scale. That’s just not measurable on the revenue scale. There’s this laundry list of ideas that are rated on a scale by experiment value per day, projections of how valuable is that idea?

Scale 132

Scale Scaling Sales Hiring Engineering 132

Neil Patel

FEBRUARY 25, 2021

Here is where machine learning operations (MLOps) come in. In less simple terms, it’s a combination of machine learning, data engineering, and development operations. MLOps creates a lifecycle and a set of practices that apply to the development of machine learning systems. 5 Benefits of MLOps.

Machine Learning 114

Machine Learning Artificial Intelligence DevOps as a Service Marketing 114